VIPER Scraper

OU Data Analytics Lab | 2019

The VIPER Scraper is an open-source system for scraping and ingesting multi-model data from Twitter and Instagram. The system includes You Only Look Once (YOLO) real-time object detection integration for Twitter, allowing users to analyze image data as it comes off the data stream. This is useful for uncovering relations between image data and natural language or other metadata, all of which is easily accessable with the VIPER system.

The VIPER scraper was developed to support projects at the University of Oklahoma Data Analytics Lab, including the Visual Inspection of Personal Exposed Records (VIPER) project.

Technology

Python, OpenCV, You Only Look Once (YOLO) Real Time Object Detection, Selenium

Technology

Dr Yihan Shao Research Group | 2017

A deep neural network capable of predicting the atomization energies of organic molecules. Traditionally, the calculation of a molecule’s atomization energy is computationally expensive, slowing down the work of researchers. However, by using DNNs it is possible accurately predict atomization energies, thereby freeing computational resources and improving the workflow of the research team.

The network is accurate within a 2% error over the test set of organic molecules.